DNF: Discrete Normalizing Flows for Single Cell Omics
Discreate normalizing flows.
Installation
- Create a virtual environment and activate it
conda create -n DNF python=3.10 scipy numpy pandas scikit-learn && conda activate DNF
- Install PyTorch following the official instruction.
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126
- Install DNF
pip3 install DNF-tool
Reproducibility
See the Github repository for materials and tutorials required to reproduce the results.
Metadata
Release files for DNF-tool 0.3.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dnf_tool-0.3.4.tar.gz | 27.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dnf_tool-0.3.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.4 kB
Release files / dnf_tool-0.3.4.tar.gz
| Download URL | dnf_tool-0.3.4.tar.gz |
|---|---|
| Size | 27.2 kB |
| Tags | Source |
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Release files / dnf_tool-0.3.4-py3-none-any.whl
| Download URL | dnf_tool-0.3.4-py3-none-any.whl |
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| Size | 29.3 kB |
| Tags | Python 3 |
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